Yehao Li
Papers
1
Total Citations
4
H-Index
1
About
Yehao Li is a researcher specializing in embodied AI, robot manipulation, and learning from demonstrations. His work focuses on bridging the gap between simulation and real-world robotic control, particularly through the SAPIEN ManiSkill Challenge. In his highly cited paper, "Silver-Bullet-3D at ManiSkill 2021," Li presents a comparative analysis of systems designed for the No Interaction Track, where policies are learned solely from pre-collected demonstration trajectories. He investigates both imitation learning and heuristic rule-based methods, offering critical insights into how robots can acquire complex object manipulation skills without direct environment interaction. This contribution has been instrumental in advancing data-efficient learning for robotic tasks, earning recognition within the challenge community. Li’s research continues to push the boundaries of dexterous manipulation, making him a rising figure in the field of embodied AI.
Research Focus
Key Achievements
Top Papers
- 1